Nonlinear Principal Component Analysis and Its Applications

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordi...

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Bibliographic Details
Main Authors: Mori, YĆ«ichi (Author), Kuroda, Masahiro (Author), Makino, Naomichi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2016.
Series:SpringerBriefs in statistics.
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